Cal.Com Engineering Benchmarks
Cal.Com delivery benchmarks are based on 8 merged pull requests in the last 30 days (828 all-time), with 56.5 hours median cycle time, 0.1 hours median review time, and 7 active contributors. AI-related signals appear on 0.0% of recent work. PR volume is down -62% compared to the prior period.
Repo vs Cal.com Average
Delivery Trend and AI Signals
PR Backlog (Humans)
Excludes AI agents and automation accounts.
PR Backlog (AI Agents)
AI coding agents only.
Cycle Time by AI-Related Signals
PR Breakdown
Top AI Tools
PR Type Breakdown
Recent Pull Requests
View PR Explorer| Title | Author | AI |
|---|---|---|
| fix(i18n): add missing space before Hebrew duration abbrevi… | Emran-Y | — |
| fix(bookings): refund all seat payments when cancelling a p… | shafi-VM | — |
| fix(CalEventParser): skip null/undefined values in getUserF… | okxint | — |
| fix(notifications): use instance URL in push test notificat… | sreecharan-desu | — |
| refactor(app-store): move credential query to repository pa… | SinghaAnirban005 | — |
Methodology
Metrics are computed from merged pull request data synced daily from GitHub. AI-related metrics are directional signals inferred from pull request activity patterns and heuristics. Summary metrics use a 30-day rolling window; trends use a 90-day window. Last updated 28 minutes ago.
Updated daily from public GitHub pull requests.
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